| Literature DB >> 33256728 |
Marinda Asiah Nuril Haya1,2, Shuhei Ichikawa3, Yukino Shibagaki4, Hideki Wakabayashi5, Yousuke Takemura6.
Abstract
BACKGROUND: Although Japan has a decentralized public health system, local governments have considered expert opinions over those of the community in decisions about public health programs. Differences in communities' interests may create gaps between health program objectives and implementation. We hypothesized that community-based participatory research (CBPR), which involves the community at every step, promotes effective program implementation and community empowerment. This study addressed the first step of CBPR, assessing community needs and developing tailored health program for a rural community in Japan.Entities:
Keywords: Community-based participatory research; Health needs assessment; Health promotion; Mixed-method; Program development; Rural health
Mesh:
Year: 2020 PMID: 33256728 PMCID: PMC7702688 DOI: 10.1186/s12913-020-05916-w
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Perspective on health issues, community strengths, and proposed solutions
| Theme | Sub-theme | Categories | Quotes |
|---|---|---|---|
| Goal | Staying independent until death | ||
| Health Issues | Diseases | − Cancer − Cerebrovascular diseases − Life-style related diseases (metabolic syndrome, hypertension, diabetes mellitus, obesity) − Cardiovascular disease − Musculoskeletal diseases/ illness − Mental health problems | |
| Unhealthy behaviors | − Smoking − Alcohol drinking − Unhealthy diet − Sedentary lifestyle − Low participation in medical checkup and screening | ||
| Unsupportive environment | − Lack of places to exercise − Costly vegetables − Lack of medical facility that offer comprehensive checkup − Difficulty to access medical facilities − Lack in information dissemination | ||
| Community’s strength | Nature | − Mountain area, waterfall, etc. − Fertile land | |
| Network | − Community health office − Sports and social clubs | ||
| Communication platform | − Meet up events − Local newsletter | ||
| Proposed solution | Improve health care services and access | − Services, facilities, and access for medical checkup − Community bus | |
| Utilize local strength | − Public facility for exercise − Local farmers market and agriculture class | ||
| Strengthen community capacity | − Inter-generation communication − Role model and health leader | ||
| Facilitate behavior change | − Exercise/sports class and event − Information dissemination − Nutritional education and cooking class − Smoking cessation program | ||
Fig. 1Relationship between health problems, proposed action, and goals in the community
Unhealthy behaviors and an unsupportive environment were considered predisposing factors that contribute to diseases, which, in turn, affect community members’ healthy life expectancy. Improvement of services and access to medical checkups and screening, utilization of local strengths and potential, strengthening community capacity, and facilitating behavior change were thought to improve people’s health, resulting in a longer healthy life expectancy
Participants’ characteristics, preventive behaviors, and community participation
| Characteristic | Frequency (%) | Mean ± SD (range) |
|---|---|---|
| Age (years) | 64.3 (20 to 93) | |
| Sex | ||
| Male | 387 (50.0) | |
| Female | 381 (49.3) | |
| Educational background | ||
| Elementary – Junior high school | 85 (11.0) | |
| High school | 415 (53.7) | |
| Vocational College/ University | 250 (32.3) | |
| Employment status | ||
| Employed | 396 (51.2) | |
| Unemployed | 355 (45.9) | |
| Opinion on disease prevention | ||
| Important | 714 (92.3) | |
| Not important | 7 (0.9) | |
| Do not know | 53 (6.8) | |
| Preventive behaviors | ||
| Exercise | 369 (47.7) | |
| Healthy diet | 417 (53.9) | |
| Vaccination | 284 (36.7) | |
| Medical check-up | 451 (58.3) | |
| Not smoking | 455 (58.9) | |
| Not drinking alcohol | 261 (33.8) | |
| Others | 38 (4.9) | |
| Barriers to healthy lifestyle/ disease prevention | ||
| Lack of time | 138 (17.8) | |
| Lack of willingness | 106 (13.7) | |
| No companion | 45 (5.8) | |
| Lack of facility | 66 (8.5) | |
| Do not how to start/ what to do | 84 (10.9) | |
| Others | 21 (2.7) | |
| Participation in community activities | 89 (11.5) | |
| Frequent | 119 (15.4) | |
| Seldom | 430 (55.6) | |
| Rarely/ never | ||
| Community identity | 64.3 ± 19.1 | |
| Feel common bond to community | 17.5 ± 5.3 | |
| Feel common identity to community | 16.4 ± 5.5 | |
| Commitment to community | 13.9 ± 4.4 | |
| Willingness to attend community health program | ||
| Yes | 351 (45.4) | |
| No | 328 (42.4) | |
| Not sure | 95 (12.2) | |
Priority ranks for health problems and proposed action
| Health Issue | Score (rank) by age group | Proposed Action | Score (rank) by age group | ||||
|---|---|---|---|---|---|---|---|
| Young adults | Middle-age | Older adults | Young adults | Middle-age | Older adults | ||
| Cancer | 190 (1) | 1242 (1) | 1428 (1) | Integrated medical check-up in one facility | 194 (1) | 1130 (1) | 1269 (2) |
| Lifestyle-related diseases (metabolic syndrome, obesity, hypertension, diabetes mellitus) | 179 (3) | 1220 (2) | 1292 (3) | ||||
| Affordable and accessible medical check-up | 188 (2) | 1130 (1) | 1220 (3) | ||||
| Cerebrovascular disease | 179 (3) | 1148 (3) | 1413 (2) | Community bus | 151 | 1015 (2) | 1279 (1) |
| Cardiovascular disease | 159 | 1058 (5) | 1247 (4) | Collaboration with community health office | 157 | 983 (3) | 1177 (4) |
| Musculoskeletal disease | 137 | 951 | 1022 | ||||
| Mental health problems | 159 | 938 | 951 | Utilizing open space as exercise place | 183 (3) | 974 (4) | 1050 |
| Sedentary lifestyle | 180 (2) | 1029 | 1123 | Local farmers market | 165 (4) | 953 (5) | 969 |
| Unhealthy diet | 159 | 916 | 1005 | Exercise class and sports events | 163 (5) | 937 | 1047 |
| Alcoholism | 120 | 693 | 701 | Nutritional education and healthy cooking class | 146 | 879 | 995 |
| Smoking | 110 | 618 | 641 | ||||
| Lack of health services and access to medical facilities | 165 (5) | 1064 (4) | 1178 (5) | Agriculture class | 133 | 953 (5) | 969 |
| Smoking cessation program | 119 | 755 | 799 | ||||
| Lack of public facility to exercise | 169 (4) | 977 | 1085 | Role model and health leader | 140 | 872 | 1011 |
| Lack of information | 156 | 941 | 1082 | Inter-generation meet up | 150 | 819 | 958 |
| Low medical check-up rate | 147 | 926 | 1033 | Improving information dissemination | 160 | 943 | 1135 (5) |
Numbers in parentheses indicate the top five highest priority scores. Some items received same total score and therefore shared the same rank
Regression model for the determinants of willingness to participate in a community health programa
| Predictor Variables | β | SE of β | OR | 95% CI of OR |
|---|---|---|---|---|
| Female | 0.47 | 0.19 | 1.61 | 1.09 to 2.37 |
| Unemployed | - 0.26 | 0.23 | 0.78 | 0.49 to 1.21 |
| Education | ||||
| Elementary school/ Junior high | reference | |||
| Senior high | - 0.38 | 0.35 | 0.68 | 0.34 to 1.36 |
| College/ University | - 0.76 | 0.37 | 0.47 | 0.22 to 0.95 |
| Age Group | ||||
| Young adults | reference | |||
| Middle-age | - 0.02 | 0.36 | 0.98 | 0.48 to 2.00 |
| Older adults | 0.42 | 0.39 | 1.53 | 0.71 to 3.34 |
| Participation in community activities | ||||
| Never/ seldom | reference | |||
| Sometimes | 1.13 | 0.34 | 3.11 | 1.63 to 6.20 |
| Frequent | 1.14 | 0.25 | 3.13 | 1.95 to 5.14 |
| Preventive behaviors | ||||
| Low | reference | |||
| Intermediate | 0.33 | 0.22 | 1.39 | 0.91 to 2.12 |
| High | 0.66 | 0.26 | 1.94 | 1.16 to 3.26 |
| Consider disease prevention as important | 0.22 | 1.13 | 1.25 | 0.12 to 13.29 |
| High common bond to community | - 0.11 | 0.23 | 0.89 | 0.57 to 1.41 |
| High common identity to community | 0.19 | 0.23 | 1.21 | 0.76 to 1.91 |
| High commitment to community | 0.65 | 0.23 | 1.92 | 1.23 to 3.02 |
Test: Akaike information criterion = 704, Nagelkerke pseudo-R2 = 0.19
There was no multicollinearity between the predictor variables
a Criterion variable: Willingness to participate in community health program (yes/no)
b Predictor variables (full model): age group, sex, educational background, employment status, importance of disease prevention, preventive behaviors, participation in community activities, community identity (common bond to community, common identity to community), commitment to community